Open-Source Sequence Clustering Methods Improve the State Of the Art.
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Host-Microbiome Interaction and Cancer: Potential Application in Precision MedicineFlowers and Wild Megachilid Bees Share Microbes.Increasing dietary nitrate has no effect on cancellous bone loss or fecal microbiome in ovariectomized rats.Performing Skin Microbiome Research: A Method to the MadnessAssessment of Common and Emerging Bioinformatics Pipelines for Targeted MetagenomicsOptiClust, an Improved Method for Assigning Amplicon-Based Sequence Data to Operational Taxonomic Units.Aging and serum MCP-1 are associated with gut microbiome composition in a murine model.A comprehensive evaluation of the sl1p pipeline for 16S rRNA gene sequencing analysis.A clinician's guide to microbiome analysis.Exact sequence variants should replace operational taxonomic units in marker-gene data analysis.Exploring the Ecological Coherence between the Spatial and Temporal Patterns of Bacterioplankton in Boreal Lakes.A heritability-based comparison of methods used to cluster 16S rRNA gene sequences into operational taxonomic units.High-resolution characterization of the human microbiome.Critical Issues in Mycobiota Analysis.Experimental metagenomics and ribosomal profiling of the human skin microbiome.Gut microbiota from multiple sclerosis patients enables spontaneous autoimmune encephalomyelitis in mice.Strain diversity and host specificity in a specialized gut symbiont of honeybees and bumblebees.MATAM: reconstruction of phylogenetic marker genes from short sequencing reads in metagenomes.Metagenome sequence clustering with hash-based canopies.FROGS: Find, Rapidly, OTUs with Galaxy Solution.A review of methods and databases for metagenomic classification and assembly.Moving beyond de novo clustering in fungal community ecology.Influence of pig farming on the human's nasal microbiota: The key role of the airborne microbial communities.Using pseudoalignment and base quality to accurately quantify microbial community composition.Bioinformatics for Microbiome Research: Concepts, Strategies, and AdvancesExperimentally induced metamorphosis in highly regenerative axolotl (ambystoma mexicanum) under constant diet restructures microbiotaImpact of DNA Sequencing and Analysis Methods on 16S rRNA Gene Bacterial Community Analysis of Dairy ProductsMultiple Sclerosis-Associated Changes in the Composition and Immune Functions of Spore-Forming Bacteria
P2860
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P2860
Open-Source Sequence Clustering Methods Improve the State Of the Art.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Open-Source Sequence Clustering Methods Improve the State Of the Art.
@ast
Open-Source Sequence Clustering Methods Improve the State Of the Art.
@en
type
label
Open-Source Sequence Clustering Methods Improve the State Of the Art.
@ast
Open-Source Sequence Clustering Methods Improve the State Of the Art.
@en
prefLabel
Open-Source Sequence Clustering Methods Improve the State Of the Art.
@ast
Open-Source Sequence Clustering Methods Improve the State Of the Art.
@en
P2093
P2860
P1433
P1476
Open-Source Sequence Clustering Methods Improve the State Of the Art
@en
P2093
Céline Mercier
Evguenia Kopylova
Frédéric Mahé
Hong-Wei Zhou
J Gregory Caporaso
Jose A Navas-Molina
Rob Knight
Zhenjiang Zech Xu
P2860
P356
10.1128/MSYSTEMS.00003-15
P577
2016-01-01T00:00:00Z